Ryan J. McCloy
Orcid: 0000-0002-4689-3233
According to our database1,
Ryan J. McCloy
authored at least 16 papers
between 2014 and 2024.
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Bibliography
2024
Adaptive Meshes and Contraction Condition Certification for Nonlinear Control Synthesis Using Machine Learning.
Proceedings of the American Control Conference, 2024
2022
Contraction-Based Control of Switched Nonlinear Systems Using Dwell Times and Switched Contraction Metrics.
IEEE Control. Syst. Lett., 2022
A Contraction-constrained Model Predictive Control for Multi-timescale Nonlinear Processes.
CoRR, 2022
A Contraction-constrained Model Predictive Control for Nonlinear Processes using Disturbance Forecasts.
CoRR, 2022
Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks.
CoRR, 2022
Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework.
CoRR, 2022
Discrete-time contraction-based control of nonlinear systems with parametric uncertainties using neural networks.
Comput. Chem. Eng., 2022
2021
CoRR, 2021
A Neural Network-based Contraction Control with Online Parameter Identification for Uncertain Nonlinear Systems.
Proceedings of the 2021 Australian & New Zealand Control Conference, 2021
2019
Set theoretic approach to fault-tolerant control of linear parameter-varying systems with sensor reintegration.
Int. J. Control, 2019
2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2015
Sensor reintegration in the fault tolerant control of linear parameter varying systems.
Proceedings of the 2015 5th Australian Control Conference (AUCC), Gold Coast, 2015
A Sensor Fusion Approach to the Fault Tolerant Control of Linear Parameter Varying Systems.
Proceedings of the Artificial Life and Computational Intelligence, 2015
On the Estimation of Convergence Times to Invariant Sets in Convex Polytopic Uncertain Systems.
Proceedings of the Artificial Life and Computational Intelligence, 2015
2014
A set separation sensor switching approach to the fault tolerant control of linear parameter varying systems.
Proceedings of the 4th Australian Control Conference, AuCC 2014, Canberra, 2014